File size: 17,142 Bytes
8a581f5
f1da812
4c6c440
8a581f5
fe10180
 
 
2eba816
fe10180
a79cc2a
a955d0e
a79cc2a
fe10180
 
8a581f5
 
 
a79cc2a
8a581f5
261124f
 
2abb50e
261124f
 
 
 
f1da812
 
2abb50e
f1da812
 
261124f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
821ff96
 
 
 
 
261124f
 
78a0afd
261124f
 
 
 
 
 
 
 
 
 
 
8a581f5
8c08e24
 
8a581f5
8c08e24
 
 
8a581f5
821ff96
f4cffb9
 
b985e31
212387e
d35d17d
8a581f5
 
 
 
 
 
 
 
 
 
 
597d161
047f126
597d161
047f126
 
 
d35d17d
 
300feb8
edaa886
8c08e24
300feb8
8c08e24
ce2b6fe
300feb8
 
a955d0e
8a581f5
fe10180
 
 
 
07b30ee
e8e0d42
fe10180
 
d2a1d9e
a55b2a7
 
07b30ee
a55b2a7
fe10180
 
07b30ee
fe10180
 
d2a1d9e
fe10180
 
 
 
 
 
 
 
 
 
 
 
 
d2a1d9e
 
 
fe10180
d2a1d9e
 
 
fe10180
 
 
 
 
 
db4631c
fe10180
 
 
 
 
05e051d
fe10180
 
 
 
 
 
 
 
 
 
5e2c5e4
fe10180
b3ba0ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fe10180
 
07b30ee
c3b568e
 
 
648c838
fe10180
d2a1d9e
fe10180
648c838
fe10180
648c838
 
 
 
 
 
 
 
 
 
 
 
 
 
d2a1d9e
fe10180
 
 
 
 
f1da812
 
5e2c5e4
f1da812
 
e5f04d4
 
fe10180
 
648c838
fe10180
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e5f04d4
 
5e2c5e4
e5f04d4
 
 
fe10180
 
648c838
fe10180
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5e2c5e4
fe10180
 
 
 
 
db4631c
 
75a34fe
db4631c
063a06a
d7b4d16
fe10180
 
 
 
db4631c
cb1c716
05e051d
fe10180
 
d7b4d16
fe10180
 
 
 
 
 
 
 
 
 
fb2a9d4
fe10180
 
 
 
 
 
a955d0e
fe10180
8a581f5
 
 
 
 
 
a955d0e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8a581f5
 
 
 
 
 
 
97d21b8
 
8a581f5
 
 
 
fe10180
 
bbdc40b
fe10180
 
8a581f5
fe10180
 
a08ff0e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fe10180
 
bbdc40b
fe10180
 
 
 
8a581f5
6714e7d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a955d0e
6714e7d
8a581f5
0b31d76
 
 
a955d0e
 
8a581f5
a955d0e
 
 
 
 
 
 
 
 
 
8a581f5
 
a955d0e
 
 
8a581f5
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
import os
import datetime
import shutil
import subprocess
import cv2
from PIL import Image
from moviepy.editor import *
from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip
from gradio_client import Client
import gradio as gr
from share_btn import community_icon_html, loading_icon_html, share_js

matte_client = Client("https://fffiloni-video-matting-anything.hf.space/")

# execute a CLI command
def execute_command(command: str) -> None:
    subprocess.run(command, check=True)


def infer(video_frames, masks_frames, project_name):

    timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
    # Create the directory if it doesn't exist
    my_video_directory = f"{project_name}"
    if not os.path.exists(my_video_directory):
        os.makedirs(my_video_directory)
    else:
        # If the directory already exists, add a timestamp to the new directory name
        
        my_video_directory = f"{project_name}_{timestamp}"
        os.makedirs(my_video_directory)

    # Assuming 'images' is a list of image file paths
    for idx, image in enumerate(video_frames):
        # Get the base file name (without path) from the original location
        image_name = os.path.basename(image.name)
    
        # Construct the destination path in the working directory
        destination_path = os.path.join(my_video_directory, image_name)
    
        # Copy the image from the original location to the working directory
        shutil.copy(image.name, destination_path)
    
        # Print the image name and its corresponding save path
        print(f"Image {idx + 1}: {image_name} copied to {destination_path}")


    # Create the directory if it doesn't exist
    my_masks_directory = f"{project_name}_masks"
    if not os.path.exists(my_masks_directory):
        os.makedirs(my_masks_directory)
    else:
        # If the directory already exists, add a timestamp to the new directory name
        
        my_masks_directory = f"{project_name}_masks_{timestamp}"
        os.makedirs(my_masks_directory)

    # Assuming 'images' is a list of image file paths
    for idx, image in enumerate(masks_frames):
        # Get the base file name (without path) from the original location
        image_name = os.path.basename(image.name)
    
        # Construct the destination path in the working directory
        destination_path = os.path.join(my_masks_directory, image_name)
    
        # Copy the image from the original location to the working directory
        shutil.copy(image.name, destination_path)
    
        # Print the image name and its corresponding save path
        print(f"Image {idx + 1}: {image_name} copied to {destination_path}")

    #video_frames_folder = "inputs/object_removal/bmx-trees"
    #masks_folder = "inputs/object_removal/bmx-trees_mask"

    video_frames_folder = f"{my_video_directory}"
    masks_folder = f"{my_masks_directory}"
    
    # Create the "results" folder if it doesn't exist
    output_folder = f"results_{timestamp}"
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)


    #bmx_trees_folder = os.path.join(output_folder, "bmx-trees")
    
    command = [
      f"python", 
      f"inference_propainter.py",
      f"--video={video_frames_folder}",
      f"--mask={masks_folder}",
      f"--output={output_folder}"
    ]

    execute_command(command)

    # Get the list of files in the "results" folder
    result_files = os.listdir(output_folder)

    # Print the content of the "results" folder
    print(f"Contents of the {output_folder} folder:")
    for item in result_files:
        print(item)

    # List the content of the "bmx-trees" folder within "results"
    results_folder = os.path.join(output_folder, my_video_directory)
    results_folder_content = [os.path.join(results_folder, item) for item in os.listdir(results_folder)]

    print(f"Contents of the {results_folder} folder:")
    for item in results_folder_content:
        print(item)

    return results_folder_content[0], results_folder_content[1], gr.Group.update(visible=True)


def get_frames(video_in, img_type):
    frames = []
    #resize the video

    clip = VideoFileClip(video_in)
    
    #check fps
    
    if clip.fps > 30:
        print("vide rate is over 30, resetting to 30")
        clip_resized = clip.resize(height=512)
        clip_resized.write_videofile(f"{img_type}_video_resized.mp4", fps=30)
    else:
        print("video rate is OK")
        clip_resized = clip.resize(height=512)
        clip_resized.write_videofile(f"{img_type}_video_resized.mp4", fps=clip.fps)
    
    
    print("video resized to 512 height")
    
    # Opens the Video file with CV2
    cap= cv2.VideoCapture(f"{img_type}_video_resized.mp4")
    
    fps = cap.get(cv2.CAP_PROP_FPS)
    print("video fps: " + str(fps))
    i=0
    while(cap.isOpened()):
        ret, frame = cap.read()
        if ret == False:
            break
        if img_type == "source":
            filename = f'{i:05d}.jpg'
            cv2.imwrite(filename, frame)
            frames.append(filename)
        elif img_type == "mask":
            filename = f'{i:05d}.png'
            cv2.imwrite(filename, frame)
            frames.append(filename)
        i+=1
    
    cap.release()
    cv2.destroyAllWindows()
    print("broke the video into frames")
    
    return frames, fps

def get_matte(video_in, subject_to_remove):
    print("Trying to call video matting")
    result = matte_client.predict(
		f"{video_in}",	# str (filepath on your computer (or URL) of file) in 'parameter_4' Video component
		10,	# int | float (numeric value between 0 and 10) in 'Cut video at (s)' Slider component
		f"{subject_to_remove}",	# str  in 'Text prompt' Textbox component
		"",	# str  in 'Background prompt' Textbox component
		api_name="/go_matte"
    )
    print(result)

    return result[2]


def infer_auto(project_name, video_in, subject_to_remove):
    timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
    print(video_in)

    # Load the video clip
    video_clip = VideoFileClip(video_in)

    # Check the original FPS of the video
    original_fps = video_clip.fps

    # Set the target FPS to 24
    target_fps = 24
    
    # Check if the original FPS is greater than 24
    if original_fps > target_fps:
        # Convert the video to the target FPS
        video_clip = video_clip.set_duration(video_clip.duration * (target_fps / original_fps))
        video_clip = video_clip.set_fps(target_fps)

        # Write the new video to an output file
        video_clip.write_videofile(f"retimed_clip_in_{timestamp}.mp4", codec='libx264')
        video_in = f"retimed_clip_in_{timestamp}.mp4"
    
    matte_video = get_matte(video_in, subject_to_remove)

    # Cut the video to the first 3 seconds
    #video_cut = f"video_cut.mp4"
    #ffmpeg_extract_subclip(video_in, t1=0, t2=3, targetname=video_cut)
    video_frames = get_frames(video_in, "source")
    frames_list = video_frames[0]
    print(video_frames[0])
 
    masks_frames = get_frames(matte_video, "mask")
    masks_list = masks_frames[0]
    print(masks_frames[0])


    # Check the lengths of the two lists
    frames_length = len(frames_list)
    masks_length = len(masks_list)

    # Make the lists the same length if they are different
    if frames_length > masks_length:
        frames_list = frames_list[:masks_length]
    elif masks_length > frames_length:
        masks_list = masks_list[:frames_length]

    # Now, both lists have the same length

    

    # Create the directory if it doesn't exist
    my_video_directory = f"{project_name}"
    if not os.path.exists(my_video_directory):
        os.makedirs(my_video_directory)
    else:
        # If the directory already exists, add a timestamp to the new directory name
        
        my_video_directory = f"{project_name}_{timestamp}"
        os.makedirs(my_video_directory)
    print(f"Created the dir: {my_video_directory}")


    # Assuming 'images' is a list of image file paths
    for idx, image in enumerate(frames_list):
        # Get the base file name (without path) from the original location
        image_name = os.path.basename(image)
    
        # Construct the destination path in the working directory
        destination_path = os.path.join(my_video_directory, image_name)
    
        # Copy the image from the original location to the working directory
        shutil.copy(image, destination_path)
    
        # Print the image name and its corresponding save path
        print(f"Image {idx + 1}: {image_name} copied to {destination_path}")


    # Create the directory if it doesn't exist
    my_masks_directory = f"{project_name}_masks"
    if not os.path.exists(my_masks_directory):
        os.makedirs(my_masks_directory)
    else:
        # If the directory already exists, add a timestamp to the new directory name
        
        my_masks_directory = f"{project_name}_masks_{timestamp}"
        os.makedirs(my_masks_directory)
    print(f"Created the dir: {my_masks_directory}")

    # Assuming 'images' is a list of image file paths
    for idx, image in enumerate(masks_list):
        # Get the base file name (without path) from the original location
        image_name = os.path.basename(image)
    
        # Construct the destination path in the working directory
        destination_path = os.path.join(my_masks_directory, image_name)
    
        # Copy the image from the original location to the working directory
        shutil.copy(image, destination_path)
    
        # Print the image name and its corresponding save path
        print(f"Image {idx + 1}: {image_name} copied to {destination_path}")

    #video_frames_folder = "inputs/object_removal/bmx-trees"
    #masks_folder = "inputs/object_removal/bmx-trees_mask"

    video_frames_folder = f"{my_video_directory}"
    masks_folder = f"{my_masks_directory}"
    
    # Create the "results" folder if it doesn't exist
    output_folder = f"results_{timestamp}"
    if not os.path.exists(output_folder):
        os.makedirs(output_folder)


    #bmx_trees_folder = os.path.join(output_folder, "bmx-trees")

    # Convert the float fps to an integer
    needed_fps = int(video_frames[1])

        
    command_auto= [
      f"python", 
      f"inference_propainter.py",
      f"--video={video_frames_folder}",
      f"--mask={masks_folder}",
      f"--output={output_folder}",
      f"--save_fps={int(needed_fps)}",
      #f"--fp16"
    ]

    execute_command(command_auto)

    # Get the list of files in the "results" folder
    result_files = os.listdir(output_folder)

    # Print the content of the "results" folder
    print(f"Contents of the {output_folder} folder:")
    for item in result_files:
        print(item)

    # List the content of the "bmx-trees" folder within "results"
    results_folder = os.path.join(output_folder, my_video_directory)
    results_folder_content = [os.path.join(results_folder, item) for item in os.listdir(results_folder)]

    print(f"Contents of the {results_folder} folder:")
    for item in results_folder_content:
        print(item)

    return results_folder_content[0], results_folder_content[1], gr.Group.update(visible=True)

css="""
#col-container{
    margin: 0 auto;
    max-width: 840px;
    text-align: left;
}
.animate-spin {
  animation: spin 1s linear infinite;
}
@keyframes spin {
  from {
      transform: rotate(0deg);
  }
  to {
      transform: rotate(360deg);
  }
}
#share-btn-container {
  display: flex; 
  padding-left: 0.5rem !important; 
  padding-right: 0.5rem !important; 
  background-color: #000000; 
  justify-content: center; 
  align-items: center; 
  border-radius: 9999px !important; 
  max-width: 15rem;
  height: 32px;
}
div#share-btn-container > div {
    flex-direction: row;
    background: black;
    align-items: center;
}
#share-btn-container:hover {
  background-color: #060606;
}
#share-btn {
  all: initial; 
  color: #ffffff;
  font-weight: 600; 
  font-size: 1em;
  cursor:pointer; 
  font-family: 'IBM Plex Sans', sans-serif; 
  margin-left: 0.5rem !important; 
  padding-top: 0.5rem !important; 
  padding-bottom: 0.5rem !important;
  right:0;
}
#share-btn * {
  all: unset;
}
#share-btn-container div:nth-child(-n+2){
  width: auto !important;
  min-height: 0px !important;
}
#share-btn-container .wrap {
  display: none !important;
}
#share-btn-container.hidden {
  display: none!important;
}
img[src*='#center'] { 
    display: block;
    margin: unset;
    margin-top: 6px;
}
div#component-25 {
    align-items: center;
}
"""
    
with gr.Blocks(css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.HTML("""
        <h2 style="text-align: center;">ProPainter</h2>
        <p style="text-align: center;">
            [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting <br />
            <a href="https://github.com/sczhou/ProPainter" target="_blank">code</a> | <a href="https://shangchenzhou.com/projects/ProPainter/" target="_blank">project page</a>
        </p>
                """)

        with gr.Row():
            with gr.Tab("Manual"):
                with gr.Column():
                    project_name = gr.Textbox(label="Name your project", info="no spaces nor special characters", value="my-new-project")
                    video_frames = gr.File(label="Video frames", file_types=["image"], file_count="multiple")
                    masks_frames = gr.File(label="Masks frames", file_types=["image"], file_count="multiple")
        
                    submit_btn = gr.Button("Submit")

                    gr.Examples(
                        examples = [
                            [
                                [
                                    "hf-examples/manual/00000.jpg",
                                    "hf-examples/manual/00001.jpg",
                                    "hf-examples/manual/00002.jpg"
                                ],
                                [
                                    "hf-examples/manual/00000.png",
                                    "hf-examples/manual/00001.png",
                                    "hf-examples/manual/00002.png"
                                ],
                                "manual_example"
                            ]
                        ],
                        fn = infer, 
                        inputs=[video_frames, masks_frames, project_name], 
                        #outputs=[res_masked, res_files]
                    )

            with gr.Tab("Auto"):
                with gr.Column():
                    project_name_2 = gr.Textbox(label="Name your project", info="no spaces nor special characters", value="my-new-project")
                    video_in = gr.Video(label="Source video", source="upload", format="mp4")
                    subject_to_remove = gr.Textbox(label="Subject to remove")

                    submit_auto_btn = gr.Button("Submit")

                    gr.Examples(
                        examples = [
                            [
                                "example_1",
                                "hf-examples/knight.mp4",
                                "knight"
                            ],
                            [
                                "example_2",
                                "hf-examples/knight.mp4",
                                "horse"
                            ],
                            [
                                "example_3",
                                "hf-examples/knight.mp4",
                                "tail"
                            ]
                        ],
                        fn = infer_auto, 
                        inputs=[project_name_2, video_in, subject_to_remove], 
                        #outputs=[res_masked, res_files]
                    )

            with gr.Column():
                gr.Markdown("""
                ### Results
                """)
                res_masked = gr.Video(label="Masked video", elem_id="res-masked")
                res_files = gr.Video(label="Final result", elem_id="res_cleaned")

                with gr.Row():

                    with gr.Group(elem_id="share-btn-container", visible=False) as share_group:
                        community_icon = gr.HTML(community_icon_html)
                        loading_icon = gr.HTML(loading_icon_html)
                        share_button = gr.Button("Share with Community", elem_id="share-btn")
        
                    gr.Markdown("""
                        [![Duplicate this Space](https://huggingface.co/datasets/huggingface/badges/raw/main/duplicate-this-space-lg.svg#center)](https://huggingface.co/spaces/fffiloni/ProPainter?duplicate=true)
                    """)
        
            
    submit_btn.click(fn=infer, inputs=[video_frames, masks_frames, project_name], outputs=[res_masked, res_files, share_group])
    submit_auto_btn.click(fn=infer_auto, inputs=[project_name_2, video_in, subject_to_remove], outputs=[res_masked, res_files, share_group])
    share_button.click(None, [], [], _js=share_js)
    
demo.queue(max_size=12).launch()